LLM EngineermidSheffield, England, UKhybridcontractBusiness Consulting and Services, Investment Banking, and BankingLLMsRAGKnowledge GraphsPythonLangChainLlamaIndexVector DatabasesNeo4jposted 06 Jul
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Job Title: AI Engineer – LLM | RAG | Knowledge Graph
📍
Location:
Sheffield, UK (Hybrid – 3 Days Onsite)
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Contract:
Inside IR35
💰
Rate:
Market Rate
Role Overview
We are looking for an experienced
AI Engineer
to design and develop enterprise
Generative AI
solutions using
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Knowledge Graphs
. You will work closely with architects, developers, and business stakeholders to build scalable AI applications and intelligent search solutions.
Key Responsibilities
* Develop and deploy AI applications using
LLMs, RAG, and Knowledge Graphs
.
* Build and optimize
RAG pipelines
with vector databases and enterprise data.
* Design and implement
Knowledge Graph
solutions for semantic search.
* Integrate LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama) into enterprise applications.
* Develop AI services using
Python
and frameworks such as
LangChain
or
LlamaIndex
.
* Collaborate with cross-functional teams to deliver scalable AI solutions.
* Optimize AI models for performance, scalability, and security.
Required Skills
* 5+ years
of software engineering experience with
2+ years in GenAI/LLMs
.
* Strong proficiency in
Python
.
* Hands-on experience with
LLMs, RAG, Prompt Engineering, and Vector Databases
.
* Experience with
Knowledge Graphs
(Neo4j/RDF/SPARQL).
* Knowledge of
LangChain, LlamaIndex, Semantic Kernel
, or similar frameworks.
* Experience with
FastAPI/Flask
, REST APIs, Docker, Kubernetes, Git, and CI/CD.
* Exposure to
Azure, AWS, or GCP
cloud platforms.
Nice to Have
* Experience with
Azure AI Foundry
, Azure OpenAI, or AWS Bedrock.
* Knowledge of
GraphRAG, Agentic AI, MCP (Model Context Protocol)
.
* Banking or Financial Services domain experience.